Job Description

Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you’re working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub.

You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you’ll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers.

Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back. “Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI!

EMBL’s European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial intelligence and biology. Women, who are under-represented in our Faculty, are especially encouraged to apply.

About us

EMBL-EBI is a global leader in computational biology and bioinformatics. Our research groups develop and apply computational approaches to answer fundamental and applied questions, ranging from studying how the genome has evolved through to how the microbiome affects our health and environment. Research in the Institute builds and expands upon a variety of methods, from strategies for sequence and image analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community, providing the building blocks for future technical advances and scientific discovery. Please refer to the EMBL-EBI webpage and the individual group descriptions to learn more about the research currently being done in the Institute.

Scientific context and strategic fit

As well as joining one of the worlds leading computational biology institutes, all of our group leaders are embedded in the multidisciplinary and collaborative environment of EMBL, which provides many opportunities for interaction with other research groups.

EMBLs long-term scientific direction, Molecules to Ecosystems, aims to advance our understanding of ecosystems at the molecular level, applying expertise in molecular biology to study life in its natural context. Research areas include applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to fluctuating environments.

Within this programme, the new AI initiative aims to transform research at EMBL. From the development of new AI methods to their application to mine the worlds largest collection of biomedical data, hosted at EMBL-EBI, to the integration of AI in experimental and observational studies and more generally the scientific process. You will have the opportunity to join this new initiative.

The EMBL-EBI is also deeply embedded in the Wellcome Genome Campus and wider Cambridge environment, which represents an outstanding ecosystem for performing world-leading research in computational life sciences.

Your role

You will establish and lead an independent research group to pursue ambitious and innovative research goals.

To enable your research, EMBL-EBI will provide a generous package of core support, including funding for PhD students, bioinformaticians, engineers and postdoctoral researchers. You will also have access to outstanding computational infrastructure including high-performance clusters and GPU compute, no formal teaching responsibilities, and complete academic freedom.

Your profile

You should have an original and exciting research plan for your future team, which can encompass both biological discoveries and methodological advances. You have an excellent research record in computational biology and a PhD in a relevant field. Alternatively, you have a track-record in machine learning and AI, and interest in applying these to biological questions. A strong interest in interdisciplinary collaboration is essential, and well want you to demonstrate your motivation to work in the EMBL environment.

Key competencies

• Scientific excellence and vision you have the potential to develop groundbreaking ideas and contribute to shaping the future of their field.
• Original and innovative thinking you are curious and intellectually creative to approach important research questions from new and original perspectives.
• Collaborative Mindset you are eager to engage with a diverse community of researchers, willing to step outside of your comfort zone, and open to interdisciplinary exchange.
• Mentoring Skills you are dedicated to nurturing and inspiring people in your team, supported by an inclusive leadership style.
• Leadership Potential and Management Skills you are ready and committed to grow into a leadership role, including learning how to efficiently manage and inspire a research team, adapting strategic planning, coordination, and an environment that fosters inclusiveness.

Why EMBL is an excellent environment for you to become a Research Group Leader

EMBL typically appoints group leaders early in their career and provides everything you need to support this transition to your first independent position and achieve your research goals.

EMBL-EBI research group leaders benefit from:

• Core Funding: Focus on your research with generous, reliable core funding throughout your time at EMBL. The offer includes a competitive yearly research package, core-funded Ph.D. students from our excellent international Ph.D. programme, which allows student intake via the ELLIS PhD programme, & access to competitive post-doc programmes.
• World-Class Resources: Access to world-leading core facilities and infrastructures in molecular biology and in IT, including on-site HPC and multiple channels to scale-out to supercomputing resources.
• Collaborative, Interdisciplinary Environment: Thrive within a network of over 110 independent research groups and service teams across our six sites, covering a broad spectrum of topics in life sciences, including the new AI(at)EMBL initiative. EMBL fosters and supports creative, interdisciplinary and collaborative research.
• Creative Freedom: Enjoy the autonomy and resources to choose your direction of research.
• Well-connected Scientific Hub: Be part of EMBL-EBI, embedded in the thriving research environment of the Wellcome Genome Campus with cross-campus initiatives like Open Targets and many other opportunities for collaboration.
• Networking & Visibility: Engage with hundreds of world-leading scientists coming for each of the many international conferences hosted annually at the Wellcome Genome Campus, as well as the EMBL courses and conference programme on campus and in Heidelberg.
• Data: EMBL-EBI maintains the world’s most comprehensive range of freely available and up-to-date biological data resources.
• Global Excellence: Join a top-ranked research institute promoting discovery-driven science in a collaborative and inclusive environment.

Further information on Group Leader appointments can be found on the Workday career page

If you would like more information about the position: if procedural, please contact Georgina Birchall, Deputy Head of Talent Acquisition, birchall(at)ebi.ac.uk, if on the position itself, please contact Julio Saez-Rodriguez, EMBL-EBI Head of Research.

How to apply

To apply, please submit your research plan with original and ambitious goals for your future team (maximum 4 pages). In your online application, please also upload a cover letter, your CV and the names and contact details of at least 3 referees.

Interviews: Online interviews will be held late April/early May. Onsite interviews will be held in Hinxton, on the 2nd and 3rd July 2026.

Apply now! Benefits and Contract Information

• Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £717per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Hybrid working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to eight bank holidays

• Relocation package including installation grant (as applicable)

• Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

• Contract duration: This position is a 5 year contract renewable up to 9 years

• Salary: Monthly salary starting at£5,982.74after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

• Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

• Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

To apply, please submit a covering letter and CV via our online system. Applications will close on 11/04/2026

Senior Machine Learning Engineer Cambridge to £90k

Do you have experience of solving real-world problems via Machine Learning techniques?

You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Senior Machine Learning Engineer you’ll build the ML capabilities that power the product, typically you’ll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase.

You’ll liaise with clients to understand engineering problems that the product can address and guide them through new ways of working as well as diagnosing complex issues to analyse if it’s a data quality issue, unexpected model behaviour, a configuration problem or a genuine bug.

You’ll be at the intersection of shaping product direction, balancing what ML researchers envision with what customers actually need and what is realistic to build and maintain in production.

Location / WFH:

You’ll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.

About you:

• You have strong theoretical and practical understanding of the foundations of Machine Learning with experience of applying these to solve real-world problems
• You have strong Python skills, including TensorFlow and PyTorch ML frameworks
• You enjoy solving complex problems proactively but know when to ask for help from domain experts, researchers and engineers
• You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification)
• You’re a confident communicator, comfortable liaising with clients

What’s in it for you:

• Competitive salary - to £90k
• Private Health Care
• Life Assurance
• Up to 6% employer pension contribution
• 25 days holiday

Apply now to find out more about this Senior Machine Learning Engineer opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

AI Product Manager - £55,000 - Hybrid

About the Organisation

A leading UK professional services organisation is seeking an AI Product Manager to join its growing Business Systems function. With a national presence and a long-established reputation for excellence, the organisation is investing heavily in next-generation technology that enhances service delivery, drives efficiency, and improves client outcomes.

The business is known for its collaborative culture, forward-thinking approach, and commitment to developing innovative digital solutions. Recently recognised as one of the best large employers in its sector, the organisation offers an inclusive, supportive, and progressive working environment with excellent long-term career prospects.

The Opportunity

This role sits within a dedicated AI Agile Squad, a cross-functional team responsible for designing and delivering AI-driven tools that improve legal and operational workflows. You will play a key role in shaping how AI is adopted across the organisation - from early discovery through to iterative delivery and optimisation.

You will be at the centre of major digital transformation initiatives, working closely with product, technology, data, and operational teams to ensure solutions are user-centred, compliant, and operationally impactful.

This is a hybrid role requiring presence in one of their offices approximately 60% of the time, with flexibility as needed. (Cambridge, Norwich, Ipswich or Essex)

You will bring:

• Experience as a Business Analyst, Product Manager, or similar role within digital/technology environments
• Strong understanding of workflow automation and process optimisation
• Experience working within Agile teams and supporting iterative product delivery
• Knowledge of AI concepts such as LLMs, NLP, classification/extraction models, summarisation or RAG workflows
• Ability to simplify complex technical concepts for non-technical audiences
• Strong stakeholder engagement and workshop-facilitation skills
• Experience contributing to or leading Agile/Scrum ceremonies
• Confidence working in regulated, risk-sensitive, or data-driven environments

Benefits include:

• 25 days holiday + bank holidays
• Private Healthcare
• Employer pension contribution
• Life assurance (4x salary) and permanent health insurance
• Enhanced family-friendly benefits
• Electric car scheme
• Hybrid working model
• And more

Machine Learning Researcher

Location: Cambridge, UK (Hybrid)
Salary: Up to 85k DOE

We’re recruiting on behalf of a Cambridge-based AI research company developing data-efficient machine learning solutions for complex engineering and optimisation problems.

This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly publishes at top-tier machine learning conferences and contributes to open-source ML libraries.

The Role

You’ll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research with practical application, including contributions to product development and customer-facing research projects.

About You

• PhD in Machine Learning, Statistics, Optimisation or a related field (or equivalent research experience)
• Track record of publications in ML, statistics or optimisation venues
• Experience or strong interest in:

• Probabilistic modelling (e.g. Gaussian Processes, Bayesian methods)
• Decision-making methods (Bayesian optimisation, bandits, RL, active learning)

• Strong numerical programming skills (Python; NumPy; TensorFlow and/or PyTorch)
• Collaborative mindset and enthusiasm for research excellence and continuous learning

If you or anyone you know could be interested, please reach out to Fintan at TEC Partners for all of the details.

Title: Junior Quantitative Researcher

Company: Proprietary HFT

Location: Cambridge

Compensation: Up to 300,000

Company:

A proprietary trading firm in Cambridge, specialising in the research and development of ultra-low-latency automated trading strategies, are looking for a Quantitative Researcher with a demonstrable background of iterating rapidly on complex mathematical experiments.

It is important that you have been involved in fast-paced research projects involving rapid iteration, as this dynamic role will require you to rapidly prototype - and ultimately move into production brand new models, often from scratch.

Role:

• You will build upon existing models as well as design new trading algorithms to increase profitability
• Work closely with a close-knit team of Traders, Engineers and Computer Scientists
• This is an early-stage hire for the team. Much of your work will be completely greenfield. You will have a very high-impact position in the team, and will be financially rewarded proportionally to your success

About you:

• Highly numerate
• Comfortable with C++ (must)
• Experience with Neural Netwoks (must)
• Work well to tight deadlines
• Top grades
• Experience managing experiments/mathematical or statistical research involving rapid iteration.

Full details are available. Please don’t hesitate to get in touch.

Job title: Senior Machine Learning Research Engineer

Salary: £64,490 - £86,255

Location: Cambridge - Triangle/Hybrid (2 days per week in the office)

Contract: Permanent

Hours: Full Time (35 hours per week)

Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.

This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You’ll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English’s products and services.

About the Role

As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.

Key Responsibilities:

• Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
• Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
• Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
• Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
• Mentor junior team members.

About You

To thrive in this role, you’ll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.

Essential Qualifications & Skills:

• Master’s degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component.
• Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
• Strong track record of successfully translating academic research into real-world applications and products.
• Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery
• Deep experience in Python and PyTorch/TensorFlow.
• Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
• Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
• Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.
• Proactiveness in communicating issues and suggesting solutions.
• Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.
• Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).

Desirable:

• PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.
• Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
• Experience in applying machine learning to educational assessment and learning solutions
• Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.

Ready to pursue your potential? Apply now.

We review applications on an ongoing basis, with a closing date for all applications being 29 March 2026 although we may close it earlier if suitable candidates are identified. We’ll set up interviews on a first-come, first-served basis.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.

Why join us

Joining us is your opportunity to pursue potential. You’ll belong to a collaborative team that’s exploring new and better ways to serve students, teachers and researchers across the globe for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it’s safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.

We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.